Role Overview
Qualifications
Benefits
Equal Employment Opportunity
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Lead AI Forward Engineer designs and guides the delivery of AI‑powered solutions that reduce operational toil and accelerate technology teams across the CIO organization.
Responsibilities- Partner closely with teams to identify opportunities, design end‑to‑end architectures, and drive implementations to production.
- Own solution design from concept through deployment, ensuring scalability, maintainability, and extensibility.
- Evaluate emerging AI technologies, define repeatable patterns, and build new capabilities through hands‑on implementation, mentorship, and shared standards.
- Design end‑to‑end AI solutions, including workflows, integration patterns, data flows, and operational considerations.
- Build scalable pipelines to collect and analyze inference‑ and workflow‑level telemetry, integrating with TR’s data backbone.
- Develop dashboards and reports providing clear visibility into performance, reliability, safety, and cost.
- Ensure compliance with TR’s AI standards for monitoring, governance, privacy, and auditability.
- Evaluate and recommend AI/ML technologies and platforms (LLM orchestration, agentic frameworks, cloud AI services) based on capability, cost, risk, and fit.
- Integrate AI observability tooling into CI/CD so new models, prompts, and workflows are automatically enrolled in monitoring and evaluation.
- Communicate trade‑offs and design decisions clearly to both technical and non‑technical audiences, including senior leadership when needed.
- Partner with Product, Data Science and AI teams to design and run evaluation frameworks for LLMs/ML models (offline/online tests, benchmarks, canaries, A/B experiments).
- Onboard new AI use cases into the observability platform from day one and collaborate with Cloud Engineers and SREs to align AI observability with broader platform observability and capacity management.
- Support scaling and monitoring of AI infrastructure and workloads during major releases and general events.
Qualifications
- Strong proficiency in Python and the ability to prototype and validate designs with hands‑on technical work.
- Cloud architecture familiarity in AWS, Azure, or GCP, including common service patterns and enterprise constraints.
- Knowledge of distributed systems, microservices, CI/CD, and cloud‑native architectures.
- 6+ years of experience with a progression in solution architecture, technical strategy, or senior engineering roles.
- Experience building software prototypes and taking solutions to production in ambiguous, low‑precedent environments.
- Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence.
- Experience with ServiceNow/ITSM, security architecture, and compliance‑oriented environments.
Benefits
- Hybrid work model: flexible work arrangement with 2–3 days a week in the office (office‑based roles) and the ability to work remotely up to 8 weeks per year.
- Flexible vacation and two company‑wide Mental Health Days off.
- Access to the Headspace app, retirement savings plan, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Paid volunteer days off (two days per year) and opportunities to participate in pro‑bono consulting projects and ESG initiatives.
Equal Employment Opportunity
We welcome applications from all qualified individuals and are committed to a diverse workforce. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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